Journal
NEURAL NETWORKS
Volume 153, Issue -, Pages 76-86Publisher
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.neunet.2022.05.029
Keywords
West epilepsy syndrome; Scalp EEG; Functional connection; Brain network; Network topology
Funding
- National Key Research and Development Program of China [2021YFE0100100, 2021YFE0205400]
- National Natural Science Foundation of China [U1909209, 62003119]
- Key Research and Development Program of Zhejiang Province [2020C03038]
- Natural Science Key Foundation of Zhejiang Province [LZ22F030002]
- Open Research Projects of Zhejiang Lab [2021MC0AB04]
- Zhejiang Provincial Natural Science Foundation [LBY21H090002, LBY21H090001]
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In this paper, the scalp EEG based functional connectivity and network topology parameters are comprehensively studied for the prognostic analysis of West syndrome. The study reveals that West seizures weaken connections between brain regions responsible for cognition and intelligence, while brain regions responsible for information synergy and visual reception have greater variability in connectivity during seizures.
The common age-dependent West syndrome can be diagnosed accurately by electroencephalogram (EEG), but its pathogenesis and evolution remain unclear. Existing research mainly aims at the study of West seizure markers in time/frequency domain, while less literature uses a graph-theoretic approach to analyze changes among different brain regions. In this paper, the scalp EEG based functional connectivity (including Correlation, Coherence, Time Frequency Cross Mutual Information, Phase-Locking Value, Phase Lag Index, Weighted Phase Lag Index) and network topology parameters (including Clustering coefficient, Feature path length, Global efficiency, and Local efficiency) are comprehensively studied for the prognostic analysis of the West episode cycle. The scalp EEGs of 15 children with clinically diagnosed string spasticity seizures are used for prospective study, where the signal is divided into pre-seizure, seizure, and post-seizure states in 5 typical brain wave rhythm frequency bands (8 (1-4 Hz), theta (4-8 Hz), alpha (8-13 Hz), /3 (13-30 Hz), and gamma (30-80 Hz)) for functional connectivity analysis. The study shows that recurrent West seizures weaken connections between brain regions responsible for cognition and intelligence, while brain regions responsible for information synergy and visual reception have greater variability in connectivity during seizures. It is observed that the changes in /3 and gamma frequency bands of the multiband brain network connectivity patterns calculated by Corr and WPLI can be preliminarily used as judgment of seizure cycle changes in West syndrome. (C) 2022 Elsevier Ltd. All rights reserved.
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